Table of Contents

• What can predictive speech coders learn from speaker recognizers?Marcos Faúndez-Zanuy. 1 [doi]
• Nonlinear acoustical preprocessing for multiple sampling rates ASR and ASR in noisy conditionRichard Lamy, Laurent Besacier. 2 [doi]
• M-ary predictive coding: a nonlinear model for speechMohan Vandana. 3 [doi]
• Effects of age on speech understanding in normal hearing listeners: relationships between the auditory efferent system and speech intelligibility in noiseSunghee Kim, Robert D. Frisina, D. Robert Frisina. 4 [doi]
• Vowel classification by global dynamic modelingXiaolin Liu, Richard J. Povinelli, Michael T. Johnson. 5 [doi]
• Double-vowel segregation through temporal correlation: a bio-inspired neural network paradigmRamin Pichevar, Jean Rouat. 6 [doi]
• Application of the MLVQ1 in speaker identificationSiham Ouamour-Sayoud, Halim Sayoud, Malika Boudraa. 7 [doi]
• Stable learning algorithm for low-distortion blind separation of real speech mixture combining multistage ICA and linear predictionTsuyoki Nishikawa, Hiroshi Saruwatari, Kiyohiro Shikano. 8 [doi]
• HARTFEX: a multi-dimentional system of HMM based recognisers for articulatory features extractionTarek Abu-Amer, Julie Carson-Berndsen. 9 [doi]
• Representing frequencies in speechKuldip K. Paliwal, Bishnu S. Atal. 10 [doi]
• Usefulness of phase in human speech perceptionKuldip K. Paliwal, Leigh D. Alsteris. 11 [doi]
• Maximization of the modelisation error ratio for neural predictive codingMohamed Chetouani, Bruno Gas, Jean-Luc Zarader. 12 [doi]
• Application of the bispectrum to glottal pulse analysisJacqueline Walker. 13 [doi]
• Truncation error and dynamics in very low latency phonetic recognitionGiampiero Salvi. 14 [doi]
• Vowel and consonant characterization using fractal dimension in natural speechF. Martínez, Antonio Guillamón, J. J. Martínez. 15 [doi]
• Comparative wavelet and MFCC speech recognition experiments on the Slovenian and English speechdat2Robert Modic, Børge Lindberg, Bojan Petek. 16 [doi]
• A combined sub-band and reconstructed phase space approach to phoneme classificationKevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson. 17 [doi]
• Adaptive inverse filtering for high accuracy estimation of the glottal sourceQiang Fu, Peter Murphy. 18 [doi]
• Phoneme classification over the reconstructed phase space using principal component analysisJinjin Ye, Michael T. Johnson, Richard J. Povinelli. 19 [doi]
• Study of attractor variation in the reconstructed phase space of speech signalsJinjin Ye, Michael T. Johnson, Richard J. Povinelli. 20 [doi]
• Nonlinear GSM echo cancellation: application to speech recognitionLaurent Barcharolli, Georges Linarès, J.-P. Costa, Jean-François Bonastre. 21 [doi]
• On the bandwidth of a shaping function model of the phonatory excitation signalJean Schoentgen. 22 [doi]
• Blind source separation of FIR convolutive mixtures: application to speech signalsCédric Févotte, Alexandra Debiolles, Christian Doncarli. 23 [doi]
• Some advances on speech analysis using generalized dimensionsVassilis Pitsikalis, Petros Maragos. 24 [doi]
• Continuous-time models for AM-FM signal demodulation and their application to speech recognitionDimitrios Dimitriadis, Petros Maragos. 25 [doi]
• A JAVA interface for speech analysis and segmentationGuido Aversano, Anna Esposito, Gérard Chollet. 26 [doi]
• Towards an oscillator-plus-noise model for speech synthesisErhard Rank, Gernot Kubin. 27 [doi]
• Some experiments on speaker-independent isolated digit recognition using SVM classifiersRamón Fernández-Lorenzana, Fernando Pérez-Cruz, José Miguel García-Cabellos, Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Fernando Díaz-de-María. 28 [doi]
• Data-driven speech segmentation for language identification and speaker verificationDijana Petrovska-Delacrétaz, Marcos Abalo, Asmaa El Hannani, Gérard Chollet. 29 [doi]
• Audio source separation with one sensor for robust speech recognitionLaurent Benaroya, Frédéric Bimbot, Guillaume Gravier, Rémi Gribonval. 30 [doi]